Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Robust Speech Recognition via Large-Scale Weak Supervision
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The world's simplest facial recognition api for Python and the command line
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
OpenMMLab Detection Toolbox and Benchmark
The fundamental package for scientific computing with Python.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
Refine high-quality datasets and visual AI models
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
A resource for learning about Machine learning & Deep Learning
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/
🔥 2D and 3D Face alignment library build using pytorch
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.